Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns

Roberta Santoro, Michelle Moerel, Federico De Martino, Giancarlo Valente, Kamil Ugurbil, Essa Yacoub, Elia Formisano

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Ethological views of brain functioning suggest that sound representations and computations in the auditory neural system are optimized finely to process and discriminate behaviorally relevant acoustic features and sounds (e.g., spectrotemporal modulations in the songs of zebra finches). Here, we show that modeling of neural sound representations in terms of frequency-specific spectrotemporal modulations enables accurate and specific reconstruction of real-life sounds from high-resolution functional magnetic resonance imaging (fMRI) response patterns in the human auditory cortex. Region-based analyses indicated that response patterns in separate portions of the auditory cortex are informative of distinctive sets of spectrotemporal modulations. Most relevantly, results revealed that in early auditory regions, and progressively more in surrounding regions, temporal modulations in a range relevant for speech analysis (∼2-4 Hz) were reconstructed more faithfully than other temporal modulations. In early auditory regions, this effect was frequency-dependent and only present for lower frequencies (<∼2 kHz), whereas for higher frequencies, reconstruction accuracy was higher for faster temporal modulations. Further analyses suggested that auditory cortical processing optimized for the fine-grained discrimination of speech and vocal sounds underlies this enhanced reconstruction accuracy. In sum, the present study introduces an approach to embed models of neural sound representations in the analysis of fMRI response patterns. Furthermore, it reveals that, in the human brain, even general purpose and fundamental neural processing mechanisms are shaped by the physical features of real-world stimuli that are most relevant for behavior (i.e., speech, voice).

Original languageEnglish (US)
Pages (from-to)4799-4804
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume114
Issue number18
DOIs
StatePublished - May 2 2017

Bibliographical note

Funding Information:
This work was supported by Maastricht University, the Dutch Province of Limburg, and the Netherlands Organization for Scientific Research (Grants 453-12-002 to E.F., 451-15-012 to M.M., and 864-13-012 to F.D.M.); the NIH (Grants P41 EB015894, P30 NS076408, and S10 RR26783); and the W. M. Keck Foundation.

Keywords

  • Auditory cortex
  • Functional MRI
  • Model-based decoding
  • Natural sounds
  • Spectrotemporal modulations

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